DBMS > Rockset vs. SiteWhere vs. Snowflake vs. TiDB vs. XTDB

System Properties Comparison Rockset vs. SiteWhere vs. Snowflake vs. TiDB vs. XTDB

Editorial information provided by DB-Engines

Name

Description

A scalable, reliable search and analytics service in the cloud, built on RocksDB

M2M integration platform for persisting/querying time series data

Cloud-based data warehousing service for structured and semi-structured data

TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Secondary database models

Relational DBMS
Search engine

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.82
Rank	#212	Overall
	#36	Document stores

Score	0.06
Rank	#383	Overall
	#43	Time Series DBMS

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Score	4.25
Rank	#74	Overall
	#40	Relational DBMS

Score	0.18
Rank	#332	Overall
	#46	Document stores

Website

rockset.com

github.com/sitewhere/sitewhere

www.snowflake.com

pingcap.com

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

docs.rockset.com

sitewhere1.sitewhere.io/index.html

docs.snowflake.net/manuals/index.html

docs.pingcap.com/tidb/stable

www.xtdb.com/docs

Developer

Rockset

SiteWhere

Snowflake Computing Inc.

PingCAP, Inc.

Juxt Ltd.

Initial release

2019

2010

2014

2016

2019

Current release

8.1.0, May 2024

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

Common Public Attribution License Version 1.0

commercial

Open Source

Apache 2.0

Open Source

MIT License

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.

Implementation language

C++

Java

Go, Rust

Clojure

Server operating systems

hosted

Linux
OS X
Windows

hosted

Linux

All OS with a Java 8 (and higher) VM
Linux

Data scheme

schema-free

predefined scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

yes

schema-free

Typing

predefined data types such as float or date

dynamic typing

yes

yes, extensible-data-notation format

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

ingestion from XML files supported

yes

Secondary indexes

all fields are automatically indexed

yes

SQL

Support of SQL

Read-only SQL queries, including JOINs

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

HTTP REST

CLI Client
JDBC
ODBC

GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy

HTTP REST
JDBC

Supported programming languages

Go
Java
JavaScript (Node.js)
Python

JavaScript (Node.js)
Python

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Clojure
Java

Server-side scripts

Stored procedures

user defined functions

Triggers

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

Sharding

based on HBase

yes

horizontal partitioning (by key range)

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

based on HBase

yes

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with TiSpark Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

full support since version 6.6

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Access rights for users and organizations can be defined via Rockset console

Users with fine-grained authorization concept

Users with fine-grained authorization concept, user roles and pluggable authentication

Fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

TiDB is an advanced open-source, distributed SQL database for modern application...
» more

Competitive advantages

- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more

Typical application scenarios

TiDB is ideal for transactional applications that require extreme scalability and...
» more

Key customers

Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more

Market metrics

34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more

Licensing and pricing models

TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.